{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# 一.Numpy"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "## 1.1.导入Numpy\n",
    "import numpy as np"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:33:52.331431200Z",
     "start_time": "2023-08-26T07:33:52.204403Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 2 3]\n",
      "<class 'numpy.ndarray'>\n"
     ]
    }
   ],
   "source": [
    "## 1.2.生成numpy数组\n",
    "x = np.array([1,2,3]) # np.array方法中转入python列表\n",
    "print(x)\n",
    "print(type(x))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:35:13.024832500Z",
     "start_time": "2023-08-26T07:35:12.940972Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "## 1.3.numpy数组的算数运算列子\n",
    "x = np.array([1,2,3])\n",
    "y = np.array([2,4,6])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:36:53.676822900Z",
     "start_time": "2023-08-26T07:36:53.668849300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "加法运算\n",
      "[3 6 9]\n"
     ]
    }
   ],
   "source": [
    "print(\"加法运算\")\n",
    "print(x+y)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:37:27.137237600Z",
     "start_time": "2023-08-26T07:37:27.131239Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "减法运算\n",
      "[-1 -2 -3]\n"
     ]
    }
   ],
   "source": [
    "print(\"减法运算\")\n",
    "print(x-y)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:37:47.277243600Z",
     "start_time": "2023-08-26T07:37:47.254222300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "乘法运算:\n",
      "[ 2  8 18]\n"
     ]
    }
   ],
   "source": [
    "print(\"乘法运算:\")\n",
    "print(x*y)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:38:14.384594200Z",
     "start_time": "2023-08-26T07:38:14.352595100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "除法运算:\n",
      "[0.5 0.5 0.5]\n"
     ]
    }
   ],
   "source": [
    "print(\"除法运算:\")\n",
    "print(x/y)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:38:40.476342200Z",
     "start_time": "2023-08-26T07:38:40.461339800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 2]\n",
      " [3 4]]\n"
     ]
    }
   ],
   "source": [
    "## 1.4.Numpy的N维数组\n",
    "A = np.array([[1,2],[3,4]])\n",
    "print(A)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:40:19.724691200Z",
     "start_time": "2023-08-26T07:40:19.705690500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "(2, 2)"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.shape # 矩阵A的维度大小"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:40:30.490922700Z",
     "start_time": "2023-08-26T07:40:30.433923300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "dtype('int32')"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.dtype # 矩阵A中数据元素的类型"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:40:42.742097800Z",
     "start_time": "2023-08-26T07:40:42.732076100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "array([[ 4,  2],\n       [ 3, 10]])"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "B = np.array([[3,0],[0,6]])\n",
    "A+B"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:42:33.260938100Z",
     "start_time": "2023-08-26T07:42:33.224501300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 3  0]\n",
      " [ 0 24]]\n"
     ]
    }
   ],
   "source": [
    "print(A*B)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:42:53.590627500Z",
     "start_time": "2023-08-26T07:42:53.566628Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[10 20]\n",
      " [30 40]]\n"
     ]
    }
   ],
   "source": [
    "print(A*10)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:43:46.219486400Z",
     "start_time": "2023-08-26T07:43:46.197488Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[10 40]\n",
      " [30 80]]\n"
     ]
    }
   ],
   "source": [
    "## 1.5广播\n",
    "A= np.array([[1,2],[3,4]])\n",
    "B = np.array([10,20])\n",
    "print(A*B)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:55:21.814449300Z",
     "start_time": "2023-08-26T07:55:21.783392600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[10 20]\n",
      " [30 40]]\n"
     ]
    }
   ],
   "source": [
    "print(A*10)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:55:43.143632Z",
     "start_time": "2023-08-26T07:55:43.121574100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[51 55]\n",
      " [14 19]\n",
      " [ 0  4]]\n"
     ]
    }
   ],
   "source": [
    "## 1.6 访问元素\n",
    "X = np.array([[51,55],[14,19],[0,4]])\n",
    "print(X)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:57:09.157184900Z",
     "start_time": "2023-08-26T07:57:09.128208700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[51 55]\n",
      "55\n"
     ]
    }
   ],
   "source": [
    "print(X[0])\n",
    "print(X[0][1])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:57:29.893929700Z",
     "start_time": "2023-08-26T07:57:29.870932Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[51 55]\n",
      "[14 19]\n",
      "[0 4]\n"
     ]
    }
   ],
   "source": [
    "# 使用for循环遍历每个元素\n",
    "for row in X:\n",
    "    print(row)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:58:20.071446400Z",
     "start_time": "2023-08-26T07:58:20.053431900Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[51 55 14 19  0  4]\n"
     ]
    }
   ],
   "source": [
    "X =X.flatten() # 将X转为一维数组\n",
    "print(X)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:58:54.645112800Z",
     "start_time": "2023-08-26T07:58:54.614073100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [
    {
     "data": {
      "text/plain": "array([51, 14,  0])"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[np.array([0,2,4])] # 获取索引为0，2，4的元素"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:59:34.462500Z",
     "start_time": "2023-08-26T07:59:34.444491300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "outputs": [
    {
     "data": {
      "text/plain": "array([ True,  True, False,  True, False, False])"
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X > 15"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T07:59:57.775995Z",
     "start_time": "2023-08-26T07:59:57.768005400Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "outputs": [
    {
     "data": {
      "text/plain": "array([51, 55, 19])"
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[X>15]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T08:00:13.035952700Z",
     "start_time": "2023-08-26T08:00:12.984953200Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# 二.matplotlib的使用"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "# 生成数据\n",
    "x = np.arange(0,6,0.1) # 以0.1为单位,生成0到6的数据\n",
    "y = np.sin(x)\n",
    "# 绘制图形\n",
    "plt.plot(x,y)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T08:08:57.377949900Z",
     "start_time": "2023-08-26T08:08:56.655996200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 追加cos图像,并添加标题,图例\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "x = np.arange(0,6,0.1)\n",
    "y1 = np.sin(x)\n",
    "y2 = np.cos(x)\n",
    "\n",
    "# 绘制图形\n",
    "plt.plot(x,y1,label='sin')\n",
    "plt.plot(x,y2,label='cos',linestyle='--')\n",
    "plt.xlabel('x')\n",
    "plt.ylabel(\"y\")\n",
    "plt.legend()\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T08:13:50.366846300Z",
     "start_time": "2023-08-26T08:13:48.275930500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 显示图像\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.image import imread\n",
    "img = imread('E:/优质源跨境购商品信息管理/软件功能模块图.jpg') # 取图像\n",
    "plt.imshow(img)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-08-26T08:28:27.814567700Z",
     "start_time": "2023-08-26T08:28:26.860893600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
